Productivity
AI Architect — Ship to Production
For AI/ML architects leading a project from prototype to production. Covers model evaluation, infra decisions, team coordination, and the habits that keep an AI project shipping.
INSIDE THIS BLUEPRINT
Habit Review Model Metrics & Experiment Logs
A habit you can add to your routine and adjust in HALO.
Habit Architecture Decision Record (ADR)
A habit you can add to your routine and adjust in HALO.
Habit Read AI/ML Paper or Blog Post
A habit you can add to your routine and adjust in HALO.
Habit Team Sync / Technical Design Review
A habit you can add to your routine and adjust in HALO.
Habit Cost & Latency Budget Check
A habit you can add to your routine and adjust in HALO.
Habit Deep Focus / No-Meeting Block (2+ hours)
A habit you can add to your routine and adjust in HALO.
Goal Ship AI Feature to Production
A goal you can track in HALO and change as your plans do.
Goal Establish AI Governance & Best Practices
A goal you can track in HALO and change as your plans do.
Task list AI Project Kickoff
- Audit available training data for quality and coverage
- Select model framework and hosting infrastructure
- Set up experiment tracking (MLflow / Weights & Biases)
- Define API contract between model service and consumers
- Establish cost budget and alert thresholds for inference
- Schedule weekly demo with stakeholders